51results about How to "Easy to capture" patented technology

The utility model discloses an electric decoy duck propeller, including propeller subassembly, timer component, power connection line and battery output line, wherein propeller subassembly connects duck decoy, is placed in water and provides downward propulsion power, controls duck decoy and makes the action of diving in water in water, the output end of power connection line is connected to propeller subassembly, and propeller subassembly is provided with the transmission of underwater signal and electric energy, the output end of timer component is connected to the input end of power connection line, and propeller subassembly is provided with control signal, and the frequency and length of time of duck decoy diving are controlled, and battery output line is connected to the input end of timer component, and propeller subassembly is provided with electric energy. The utility model discloses simple structure, low in production cost, easy operation, high practicality can realize the action of the multiple electric duck to underwater movement to imitate duck natural eating to reach the effect of attracting duck landing water surface, so that better hunting.

A multi-stage adsorption synergistic dust control system for silicon carbide laser processing includes a suction hood, a vibrating grid module, a porous laminar flow adsorption module, a boiling water mist module, a condensation pipe, a mixing condensation module, a drying module, and a fan, arranged sequentially and connected along the airflow direction. The vibrating grid module includes an alloy grid and a vibration device. The porous laminar flow adsorption module includes an adsorption layer disposed in the airflow channel. The boiling water mist module includes an adsorption chamber and a water mist generator to form boiling water mist to capture dust in the airflow. The condensation pipe performs preliminary condensation of the airflow to capture dust. The mixing condensation module includes an inclined condensation channel that utilizes dust in the airflow as condensation nuclei to remove dust. The inner wall of the condensation channel is alternately arranged with superhydrophilic and superhydrophobic regions. This invention can achieve stepwise dust removal from the micron to the nanometer scale, with a capture efficiency of up to 99.9%, low overall energy consumption, and recyclable materials.

The application relates to the technical field of vehicle exhaust treatment, and provides an exhaust treatment system and a vehicle. The exhaust treatment system comprises a particle trap and a regeneration device, the regeneration device comprises an oil-gas mixing part, a gas path assembly and an oil path assembly, and a fluid driving part connected between the oil-gas mixing part and the particle trap, and the fluid driving part can drive an oil-gas mixture in the oil-gas mixing part to flow into the particle trap. The exhaust treatment system provided by the application sets one fluid driving part, which can facilitate the smooth flow of exhaust gas and fuel into the oil-gas mixing part, the exhaust treatment system has a simple structure, and the oil-gas mixture can smoothly flow to the downstream, which is helpful for the combustion regeneration of the particle trap, has a good exhaust treatment effect, and can reduce the emission of pollutants.

This invention relates to a flame retardant with both microwave absorption and smoke suppression functions. The flame retardant is a hierarchical porous metal-organic framework material with a three-dimensional polygonal structure, a size of 1-3 μm, and a pore size distribution between 1.0-50.0 nm. It carries nano-transition metal oxides internally and on its surface, with the nano-transition metal oxides accounting for 25%-65% of the total mass. The flame retardant provided by this invention possesses microwave absorption, flame retardancy, and smoke suppression properties. Its initial decomposition temperature is 442℃±10℃, with significant mass loss in the temperature range of 450-700℃. At 800℃, the residue content is as high as 50% or more, exhibiting excellent thermal stability and meeting the processing requirements for flame retardants in polyurea, epoxy resin, and polycarbonate.

The application provides a kitchen waste sorting device, and belongs to the technical field of waste treatment. The kitchen waste sorting device comprises a material distribution mechanism, a plurality of plastic cutting members and a double-curved-surface stirrer, and a conical material distribution hopper is provided with an inlet pipe on the side. An air flotation tank is located above the conical material distribution hopper and is in communication with the top of the conical material distribution hopper. The sidewall of the air flotation tank is provided with a discharge pipe. A plastic conveying mechanism is located below the water surface of the air flotation tank at the bottom and is located obliquely above the air flotation tank at the top. A slag discharge mechanism comprises a discharge pipe and a screw conveyor. The integrated kitchen waste sorting device can realize efficient sorting of plastic, waste oil, food residue and waste water. The waste oil and food residue can be recycled, which is conducive to the recycling of kitchen waste and the subsequent solid waste and waste water treatment.

The present application belongs to the field of direct current transmission, and particularly relates to a support insulator, an insulating support structure and a direct current GIL. In order to solve the technical problem that the electric field lines pass through the support insulator in the prior art, resulting in that the normal field intensity of the side surface of the support insulator is too large, the present application provides a support insulator, which comprises a high-potential support surface for supporting a conductive rod, a low-potential support surface for supporting an insulating cylinder and a side surface, the high-potential support surface and the low-potential support surface are both arc surfaces, the axis of the high-potential support surface and the low-potential support surface corresponds to the axis of the matched conductive rod, and the extension line of the projection of the side surface of the support insulator in the direction of the axis of the corresponding conductive rod intersects with the axis of the conductive rod. The present application further provides an insulating support structure and a direct current GIL using the support insulator. By making the electric field lines parallel to the side surface of the support insulator, the normal field intensity of the side surface of the support insulator can be reduced, and the surface flashover voltage and the insulating strength of the support insulator can be improved.

This invention belongs to the field of blast furnace carbon emission reduction technology and discloses a blast furnace carbon emission reduction ironmaking system and method, including: oxygen-enriched ironmaking with the participation of a mixed reaction gas with high CO2 concentration. Due to the use of CO2 in the blast furnace blast and pulverized coal carrier gas, the oxygen enrichment rate is increased, and the amount of biochar is increased, thereby improving the smelting intensity of the blast furnace, increasing the proportion of pulverized coal replacing coke (increasing the coal ratio and decreasing the coke ratio), reducing ironmaking costs, and reducing carbon emissions. Furthermore, due to the use of CO2 injection and oxygen-enriched ironmaking operations, the amount of air incorporated into the mixed reaction gas is reduced, increasing the concentration of CO and CO2 in the blast furnace gas, which is beneficial for subsequent capture, separation, purification, and resource utilization of different components in the blast furnace gas.

This invention discloses a vehicle-mounted drone video automatic shooting and generation system and method, belonging to the field of drones. The system includes: a vehicle-side component, comprising a main control unit, a data communication gateway, a vehicle and environmental status perception module, an interactive interface, and a cabin power supply interface; a drone-side component, comprising an airborne controller, a communication module, a drone status perception module, and a shooting and flight module; and a cloud-side component, comprising a cloud server. Both the main control unit and the cloud server have built-in AI engines. The main control unit is connected to the data communication gateway, the vehicle and environmental status perception module, the interactive interface, and the cabin power supply interface; the airborne controller is connected to the communication module, the drone status perception module, and the shooting and flight module; and the data communication gateway is connected to the communication module and the cloud server. This invention enables fully automatic generation of high-quality videos in outdoor mobile scenarios.

This invention discloses an AI data processing system for speech recognition devices. The system includes a data acquisition unit, a preprocessing unit, a noise detection unit, a joint adjustment unit, a feature optimization unit, and a recognition output unit. Each unit establishes a closed-loop collaborative processing link through data interaction. The data acquisition unit is used to simultaneously acquire the original speech data of the object to be recognized and the environmental noise data of the corresponding scene. The preprocessing unit is used to perform unified and standardized preprocessing operations on the two types of data. This invention relates to the fields of speech recognition and artificial intelligence technology. This AI data processing system for speech recognition devices, through a dynamic noise model and intelligent adjustment algorithm, can adapt to different noise environments in real time, generating accurate dynamic adaptation parameters, thereby effectively suppressing noise and enhancing the clarity of the speech signal. This significantly improves the accuracy of speech recognition in complex noise environments.

The utility model relates to hub coating equipment technical field provides a water screen subassembly of taking away paint mist, including pool body, one side of pool body inside is provided with filter structure, the filter structure includes the positioning groove of opening in one side of pool body bottom, the inside of positioning groove is provided with the locating plate, the top of locating plate is fixed with stainless steel filter screen, the top of stainless steel filter screen extends to the outside of pool body and is fixed with the baffle, the utility model discloses through being provided with filter structure, can fix or dismantle stainless steel filter screen under the cooperation of joint block and joint groove, can effectively intercept the paint mist particle and impurity in the inside of pool body under the action of stainless steel filter screen, make the clean water through the reflux pipe to return to the inside of water tank, conveniently circulate water to reach the purpose of saving water resource, realize the function that the device is convenient for circulating water to improve the applicability of this water screen subassembly of taking away paint mist when using.

This invention discloses a supervised multimodal hash retrieval method and system based on label enhancement, belonging to the field of artificial intelligence and multimedia retrieval technology. The technical problem this invention aims to solve is how to better capture the similarity information between multimodal data points and achieve better performance and accuracy in multimodal retrieval tasks. The technical solution includes: data preprocessing: acquiring and organizing public datasets of image and text modalities, and dividing each public dataset into training, testing, and retrieval datasets; extracting deep features: using a pre-trained network model to extract features from the raw data of the public datasets of image and text modalities respectively, obtaining deep features of the image modality and the text modality; offline training; variable update and optimization; and online query. The system includes a data preprocessing unit, a feature extraction unit, an offline training unit, a variable update and optimization unit, and an online query unit.

This invention discloses a text summarization method and system based on sparse attention acceleration, comprising: reading long text data, performing word segmentation and embedding encoding processing, extracting sequence feature vectors, and mapping them to a query matrix Q, a key matrix K, and a value matrix V; constructing a summarization generation network, including a sparse attention calculation module, a feedforward calculation module, a prediction head module, and a key-value caching module; inputting the query matrix Q, key matrix K, and value matrix V into the summarization generation network, first passing through a backbone network composed of multiple stacks of the sparse attention calculation module and the feedforward calculation module, and then being processed by the prediction head module, while the key-value caching module caches historical decoding states in real time to obtain an initial text feature vector; based on the initial text feature vector, performing an autoregressive decoding process through the summarization generation network to output the final summary result. This invention can accelerate the decoding process and ensure the semantic integrity and coherence of the generated summary.

The application provides an arrangement structure of anti-fluidization medium pieces, which comprises a medium piece array in a magnetic medium box; one end of the magnetic medium box is a slurry input end, and the other end is a slurry output end; the medium piece array is arranged by three or more medium pieces; in the upward view of the slurry flow direction of the magnetic medium box, the three adjacent medium pieces are arranged in a non-isosceles triangle layout which can destroy the fluidization movement rule of the slurry, so as to increase the collision probability of the magnetic particles in the slurry and the medium pieces; the arrangement method of the application can effectively increase the adsorption area, destroy the slurry flow rule, and significantly improve the separation efficiency of the high-gradient magnetic separator.

This invention relates to the field of materials technology, and more particularly to a 3D-printed, internally hollowed-cone solar interface evaporator with directional salt deposition function, its preparation method, and its application. The invention includes step 1: three-dimensional model construction; step 2: substrate surface pretreatment and chemical activation; and step 3: hydrothermal preparation of a Co-Bi-S coating. This invention uses a 3D-printed porous, internally hollowed-cone resin device as a substrate, and grows a Co-Bi-S coating in situ on its surface using a hydrothermal method. This coating exhibits both excellent photothermal conversion performance and corrosion resistance. The evaporator structure is designed as a porous, internally hollowed-cone shape, which provides a larger evaporation area, stronger light capture and focusing capabilities, and can achieve higher evaporation temperatures and directional salt deposition effects. The prepared solar interface evaporator exhibits excellent photothermal conversion performance and water evaporation efficiency, and also demonstrates good structural stability and corrosion resistance. This solves the technical problems of low photothermal conversion efficiency and poor stability in high-salt environments inherent in traditional solar evaporators, making it suitable for applications such as seawater desalination.

This application discloses a method and related equipment for confocal endoscope image processing, relating to the field of image processing. The method includes: inputting the image to be processed into an Inception V3 network and an SPP structure to obtain a first feature, a second feature, and a third feature; extracting a first spatial domain attention map, a first channel domain attention map, and a first mixed domain attention map corresponding to the first feature, the second feature, and the third feature, respectively; performing non-maximum suppression operation on the first spatial domain attention map, the first channel domain attention map, and the first mixed domain attention map to obtain a second spatial domain attention map, a second channel domain attention map, and a second mixed domain attention map; performing a fusion operation on the second spatial domain attention map, the second channel domain attention map, and the second mixed domain attention map to obtain fused features; and performing recognition based on the fused features and a target classifier to obtain a valid image.

The application discloses a plant growth regulator. By externally applying the plant growth regulator to leguminous plants, the leguminous plants can maintain high tolerance under weak light conditions such as dense planting, strip complex planting, under forest, facility greenhouse or cloudy and rainy days, and the implementation is simple, labor is saved, and the plant growth regulator can be used for mechanical operation.

This invention relates to a chloride ion diffusion-phase field coupling analysis method for corrosion damage in reinforced concrete. The method includes determining the chloride ion diffusion-phase field coupling analysis method and establishing multi-field coupling of chloride ion diffusion and phase field. It achieves full-process analysis of chloride-induced corrosion damage in reinforced concrete and predicts concrete durability. The method also involves macroscopic simulation of the corrosion process of reinforced concrete by chloride ion diffusion, comparing and verifying the correctness of the chloride ion diffusion-phase field coupling analysis method. Furthermore, it conducts parametric analysis to explore the influence of single or multiple reinforcements, protective layer thickness, or reinforcement position on cracking and durability degradation of reinforced concrete. Based on unified phase field theory, gradient damage theory, damage mechanics theory, and finite element simulation technology, this invention improves the accuracy of concrete durability prediction by performing full-process analysis of chloride-induced corrosion damage in reinforced concrete through multi-field coupling.

The application belongs to the field of communication measurement and control, and particularly relates to a measurement and control transponder system and equipment for quickly and reliably capturing a mixed spread spectrum signal, and aims to solve the problem of insufficient system precision and weak reliability. The application comprises a digital down-conversion module for receiving a signal and performing digital down-conversion processing on the signal; a direct spread code capture module for capturing the zero intermediate frequency signal and performing modulation to obtain a spread spectrum signal; a frequency hopping interval division module for dividing the bandwidth of the spread spectrum signal into N parallel frequency hopping intervals according to a frequency hopping pattern; a matched filter module for filtering the signal and performing N-point Fourier operation; a capture decision module for comparing the code phase with a threshold value, and if the threshold value is exceeded, determining that capture is successful; and a synchronization refresh module for performing dynamic refresh through a synchronization refresh algorithm. The application improves the capture speed and reliability of the measurement and control transponder.

This invention provides an image conversion system and method between Bayer format and quad Bayer format. The system includes an image acquisition module that acquires an original Bayer format image and an original quad Bayer format image; a re-mosaic module that converts the original quad Bayer format image and the generated quad Bayer format image into a Bayer format image; a de-mosaic module that converts the original Bayer format image and the generated Bayer format image into a quad Bayer format image; and an image output module that outputs the generated quad Bayer format image and the Bayer format image. By unifying the re-mosaic and de-mosaic processes within the same system framework, the correlation between Bayer and quad Bayer formats can be better captured, and information loss during format conversion can be effectively reduced. The repeated re-mosaic and de-mosaic processes can also enhance each other, improving the conversion accuracy and quality, thus solving the problem of poor performance in existing Bayer and quad Bayer format image conversion methods.

This invention belongs to the field of low-light image enhancement, specifically relating to a low-light image enhancement method based on spectral interaction. The method includes constructing a low-light image enhancement model, which comprises a spatial feature extraction module, a spectral real part interaction module, and a brightness-perceived fusion module. The model is trained, and the trained low-light image enhancement model is used to enhance low-light images. This invention employs a two-branch fusion strategy, which effectively utilizes the advantages of both branches while avoiding their respective shortcomings, further improving image quality and clarity.

This invention proposes a method for denoising vibration signals from structural health monitoring based on a hybrid neural network. This method, implemented according to embodiments of the invention, eliminates the need for prior signal knowledge and manual parameter settings. It effectively removes various noise types from structural health monitoring vibration signals, significantly improves the signal-to-noise ratio, and reduces the root mean square error, achieving efficient and automated noise reduction of vibration signals.

The utility model belongs to electroacoustic transducer technical field discloses a moving coil type sound head and microphone. The moving coil type sound head includes shell, first sound pickup subassembly and second sound pickup subassembly, the inside of shell has acoustic cavity, shell has the sound inlet, acoustic cavity is connected with outside through sound inlet, first sound pickup subassembly includes first magnet and first sound film, is provided with first coil on first sound film, first sound film is opposite sound inlet and is arranged in acoustic cavity, first magnet is arranged in acoustic cavity, first sound film vibration drives first coil to move relatively first magnet and produces electric current, second sound pickup subassembly includes second magnet and second sound film, second magnet is arranged in acoustic cavity, second sound film and first sound film are along the propagation direction of sound wave in acoustic cavity and are spaced, are provided with second coil on second sound film, second sound film vibration drives second coil to move relatively first magnet and produces electric current. The moving coil type sound head improves the sensitivity of sound signal acquisition, can better capture and restore sound signal.

This invention provides an energy-saving building lighting structure, relating to the field of building top-floor structure technology. It includes a skylight glass roof panel, photovoltaic lighting components, and a water-guiding pipe assembly. The skylight glass roof panel has a central water-guiding hole, and the photovoltaic lighting components are installed around the four sides of the central water-guiding hole. Several roof panel water-guiding channels are formed between the photovoltaic lighting components. This invention, through the spherical structure on the photovoltaic lighting components, can better capture sunlight at all times of the day, and provide supplemental lighting to the interior through the lighting lamps in the lower lighting tubes. Simultaneously, the roof panel water-guiding channels guide rainwater and sewage to the central water-guiding hole and the side water-guiding holes, thereby allowing them to be discharged into the sewer through the water-guiding pipe assembly, preventing rainwater accumulation and damage to the photovoltaic components.

This invention provides a fully free-degree-of-freedom motor-driven joint, relating to the field of underwater robot technology. It includes an upper robotic arm and a lower robotic arm, which are interconnected by a drive mechanism. The drive mechanism controls the angle adjustment of the upper robotic arm. In this invention, a motor drives a first rotating shaft to rotate, which in turn drives a movable block and the upper robotic arm to rotate through the engagement of a second positioning block and a second positioning groove, and a first gear and a second gear. This achieves fully free-degree-of-freedom rotation of the upper robotic arm through a single drive joint, reducing the overall size and weight of the underwater robot while improving its overall flexibility.

The application belongs to the field of computer data processing, and more particularly relates to a weakly supervised semantic segmentation method based on shape block semantic correlation degree. The method comprises the following steps: S1, inputting an original image into a classification network to obtain a class activation map; S2, obtaining graph structure data with shape blocks as nodes by dividing the original image through a shape division module; S3, performing shape block pooling on the class activation map by using the shape block division result in S2 to obtain a pooled class activation map; S4, training a semantic correlation degree network by using the confidence region in the pooled class activation map; S5, performing semantic classification on the graph nodes by using the adjacency matrix output by the semantic correlation degree network, and aggregating the nodes into pseudo labels; and S6, training a semantic segmentation network by using the pseudo labels, wherein the network receives an original image and outputs a predicted semantic segmentation result.

This utility model discloses a detachable dust removal and noise reduction device for a hydraulic breaker, including a mounting frame. A hydraulic breaker is housed within the mounting frame, and a dust cover is installed around the outer periphery of the breaker's hammer head. A water distribution pipe is installed inside the dust cover, with a water supply pipe extending outwards from the dust cover. Water outlet pipes extending downwards are evenly distributed at the lower end of the water distribution pipe, and a water nozzle is installed at the lower end of the water outlet pipe. A splash baffle is positioned directly below the water nozzle, and a cleaning component is installed at the lower end of the splash baffle. This utility model features a splash baffle at the lower end of the nozzle and a cleaning component below that. Firstly, the splash baffle splashes the water sprayed from the nozzle, forming dense water droplets and mist, thus better capturing particulate matter in the dust. Secondly, the splash baffle also prevents small flying stones from impacting the nozzle. Thirdly, the cleaning component periodically cleans the nozzle's outlet, preventing clogging and ensuring the normal operation of the spraying operation.

This invention discloses a method for foreign body detection in chest X-ray images based on deformable convolution. The method first preprocesses the X-ray image to enhance contrast and clarity. Second, it constructs a convolutional neural network based on deformable convolution. This convolutional neural network includes an improved ModelNet backbone, a spatial pyramid pooling structure, a spatial aggregation module, and a foreign body prediction head. Then, training data is input into the deformable convolution-based convolutional neural network for training, resulting in a trained network model. Finally, test data is input into the trained network model to obtain extracted feature maps, which are then used for prediction and regression to obtain the coordinates of the foreign body. The deformable convolution-based backbone in this invention can adaptively adjust the feature offset, thereby extracting foreign body features more accurately. The spatial aggregation module embeds spatial location information into image features, better capturing the location information of the foreign body.

The application discloses a kind of channel atlas assisted wireless positioning method and system.Considering the scenario that large-scale antenna array base station serves user, the channel information of a large number of user samples in service area is obtained, and a small part of samples is labeled as anchor point;A hybrid neural network inspired by physical principles is constructed as a location prediction model, and the parameter initialization of the network model is realized using channel atlas;With the help of channel atlas, the dissimilarity representing the real physical distance is extracted from the channel information, and the twin loss function is calculated based on the dissimilarity;The combination of twin loss function and anchor loss function is used as training loss function, and the parameters of wireless positioning network are iteratively updated by back propagation algorithm.The application utilizes the self-supervised characteristics of channel atlas, combines the neural network model inspired by physical principles, and realizes location prediction based on wireless channel information in a weakly supervised learning manner.The application can achieve relatively accurate positioning under the premise of only needing a small amount of anchor point information.